PINE LIBRARY
Обновлено Momentum
Library "Momentum"
Contains utilities varying algorithms for measuring momentum.
simple(fast, slow, src, fastType, slowType) Derives momentum from two moving averages of different lengths.
Parameters:
fast: The length of the fast moving average.
slow: The length of the slow moving average.
src: The series to measure from. Default is 'close'.
fastType: The type of moving average the fast should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
slowType: The type of moving average the slow should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
stochRSI(fast, fast, rsiLen, stochLen, src, kmode) Returns the K and D values of a Stochastic RSI. Allows for different moving averages to produce the K value.
Parameters:
fast: The length to average the stochastic.
fast: The length to smooth out K and produce D.
rsiLen: The length of the RSI.
stochLen: The length of stochastic.
src: The series to measure from. Default is 'close'.
kmode: The type of moving average to generate. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
Returns: [K, D]
macd(fast, slow, signal, src, fastType, slowType, slowType) Same as well-known MACD formula but allows for different moving averages types to be used.
Parameters:
fast: The length of the fast moving average.
slow: The length of the slow moving average.
signal: The length of average to applied to smooth out the signal.
src: The series to measure from. Default is 'close'.
fastType: The type of moving average the fast should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
slowType: The type of moving average the slow should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
slowType: The type of moving average the signal should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
Returns: [macd, signal, histogram]
Contains utilities varying algorithms for measuring momentum.
simple(fast, slow, src, fastType, slowType) Derives momentum from two moving averages of different lengths.
Parameters:
fast: The length of the fast moving average.
slow: The length of the slow moving average.
src: The series to measure from. Default is 'close'.
fastType: The type of moving average the fast should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
slowType: The type of moving average the slow should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
stochRSI(fast, fast, rsiLen, stochLen, src, kmode) Returns the K and D values of a Stochastic RSI. Allows for different moving averages to produce the K value.
Parameters:
fast: The length to average the stochastic.
fast: The length to smooth out K and produce D.
rsiLen: The length of the RSI.
stochLen: The length of stochastic.
src: The series to measure from. Default is 'close'.
kmode: The type of moving average to generate. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
Returns: [K, D]
macd(fast, slow, signal, src, fastType, slowType, slowType) Same as well-known MACD formula but allows for different moving averages types to be used.
Parameters:
fast: The length of the fast moving average.
slow: The length of the slow moving average.
signal: The length of average to applied to smooth out the signal.
src: The series to measure from. Default is 'close'.
fastType: The type of moving average the fast should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
slowType: The type of moving average the slow should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
slowType: The type of moving average the signal should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
Returns: [macd, signal, histogram]
Информация о релизе
v2 Cleanup.Информация о релизе
v3 Fixed function docs.Информация о релизе
v4 Republish for debugging server errorИнформация о релизе
v5 Updated reference with improved MovingAverage lib.Информация о релизе
v6 Added 'changeNormalized' function for normalizing the velocity of movement. Typically used for moving averages.Added:
changeNormalized(src, len) Returns the 'change' (current - previous) in value normalized by standard deviation measured by the provided length.
Parameters:
src: The series to measure changes.
len: The number of bars to measure the standard deviation.
Информация о релизе
v7 Updated DataCleaner and implemented normalize function.Updated:
changeNormalized(src, len) Returns the 'change' (current - previous) in value normalized by standard deviation measured by the provided length.
Parameters:
src: The series to measure changes.
len: The number of bars to measure the standard deviation.
Библиотека Pine
В истинном духе TradingView автор опубликовал этот код Pine как библиотеку с открытым исходным кодом, чтобы другие программисты Pine из нашего сообщества могли им воспользоваться. Вы можете использовать эту библиотеку в приватных или других публикациях с открытым исходным кодом, но повторное использование этого кода в публикации регулируется Правилами поведения.
Отказ от ответственности
Все виды контента, которые вы можете увидеть на TradingView, не являются финансовыми, инвестиционными, торговыми или любыми другими рекомендациями. Мы не предоставляем советы по покупке и продаже активов. Подробнее — в Условиях использования TradingView.
Библиотека Pine
В истинном духе TradingView автор опубликовал этот код Pine как библиотеку с открытым исходным кодом, чтобы другие программисты Pine из нашего сообщества могли им воспользоваться. Вы можете использовать эту библиотеку в приватных или других публикациях с открытым исходным кодом, но повторное использование этого кода в публикации регулируется Правилами поведения.
Отказ от ответственности
Все виды контента, которые вы можете увидеть на TradingView, не являются финансовыми, инвестиционными, торговыми или любыми другими рекомендациями. Мы не предоставляем советы по покупке и продаже активов. Подробнее — в Условиях использования TradingView.